AI Progress Tracker: Machines of Loving Grace

Join our Reddit community to discuss updates and contribute to tracking progress!

About This Project

This website tracks the predictions made in Dario Amodei's essay "Machines of Loving Grace: How AI Could Transform the World for the Better" (October 2024). The essay outlines an optimistic vision for how artificial intelligence could dramatically improve human life across multiple domains within 5-10 years after the development of powerful AI.

Purpose

Our goal is to create a living document that tracks progress toward these predictions in real-time. This helps:

• Provide transparency around AI development and its impacts
• Enable community discussion about progress and setbacks
• Create accountability for these optimistic predictions
• Foster hope and track positive developments in AI

Key Prediction Categories

The tracker monitors predictions across four main categories:

1. Biology and Physical Health

   • Prevention of infectious diseases
   • Cancer treatment advances
   • Genetic disease solutions
   • Alzheimer's prevention
   • Biological freedom
   • Lifespan extension

2. Neuroscience and Mental Health

   • Mental illness treatment
   • Solutions for structural conditions
   • Genetic prevention of mental illness
   • Everyday cognitive enhancement

3. Economic Development and Poverty

   • Global health distribution
   • Economic growth in developing world
   • Food security
   • Climate change solutions

4. Peace and Governance

   • Democratic advantages in AI
   • Free information environment
   • Legal system improvements
   • Government service enhancement

How to Contribute

For Developers

1. Setup Local Environment

   # Clone the repository
   git clone https://github.com/jordankrueger/molg
   cd molg
   
   # Install dependencies
   npm install
   
   # Start development server
   npm run dev

2. Tech Stack

   • Next.js
   • TypeScript
   • Tailwind CSS
   • Lucide Icons

3. Making Changes

   • Create a new branch for your changes
   • Make your updates
   • Submit a pull request with a clear description of your changes

For Non-Developers

1. Suggest Updates

   • Join our Reddit community
   • Share news articles, research papers, or developments related to any predictions
   • Discuss progress metrics and suggest improvements

2. Report Issues

   • Use GitHub Issues to report bugs
   • Suggest new features or improvements
   • Point out needed updates to prediction tracking

Progress Tracking Methodology

Each prediction is tracked with:

• A clear description of the goal
• A progress percentage
• Supporting evidence for progress made
• Community discussion and validation

Project Structure

molg/
├── app/                    # Next.js app directory
│   ├── page.tsx           # Main page
│   └── layout.tsx         # Root layout
├── components/            # React components
│   └── PredictionTracker.tsx  # Main tracker component
├── public/               # Static assets
└── styles/              # CSS styles

Running the Project Locally

1. Ensure you have Node.js installed
2. Clone the repository
3. Install dependencies: npm install
4. Run development server: npm run dev
5. Open http://localhost:3000

Deployment

The project is deployed using Vercel. Any changes merged to main will automatically deploy.

Community Guidelines

• Focus on evidence-based discussion
• Be respectful and constructive
• Maintain objectivity in progress assessments
• Welcome diverse perspectives
• Keep discussions focused on the predictions and their progress

License

GPL-3.0 License - See LICENSE file for details

Contact

Join our Reddit community for discussions and updates.

Acknowledgments

• Dario Amodei for the original essay and predictions
• All contributors to this tracking project
• The AI research community for their ongoing work

---

We welcome contributions from everyone interested in tracking and discussing the future of AI. Whether you're a developer, researcher, or just interested in the topic, there's a way for you to help improve this project!